Enhanced Bayesian Network Models by Monidipa Ghosh (22 results)

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Published by Springer, 2020
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Language: English
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Language: English
Published by Springer, 2019
Series: Book 370 of 538 - Studies in Computational Intelligence
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Condition: New. pp. XXIII, 149 67 illus., 59 illus. in color. 2020th edition NO-PA16APR2015-KAP.

Language: English
Published by Springer Nature, 2020
Series: Book 370 of 538 - Studies in Computational Intelligence
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Language: English
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Language: English
Published by Springer, 2019
Series: Book 370 of 538 - Studies in Computational Intelligence
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Gebundene Ausgabe. Condition: Neu. This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data. Students of any other discipline of engineering, science, and technology, will also find this monograph useful. Research students looking for a suitable problem for their MS or PhD thesis will also find this monograph beneficial. The open research problems as discussed with sufficient references in Chapter-8 and Chapter-9 can immensely help graduate researchers to identify topics of their own choice. The various illustrations and proofs presented throughout the monograph may help them to better understand the working principles of the models. The present monograph, containing sufficient description of the parameter learning and inference generation process for each enhanced BN model, can also serve as an algorithmic cookbook for the relevant system developers. Sprache: Englisch Gewicht in Gramm: 384.…

Language: English
Published by Springer International Publishing, 2019
Series: Book 370 of 538 - Studies in Computational Intelligence
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first text that throws light on the recent advancements in developing enhanced Bayesian network (BN) models to address the various challenges in spatial time series predictionThe monograph covers both theoretical and empirical aspects of a .…

Language: English
Published by Springer International Publishing, 2020
Series: Book 370 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the first text that throws light on the recent advancements in developing enhanced Bayesian network (BN) models to address the various challenges in spatial time series predictionThe monograph covers both theoretical and empirical aspects of a .…

Language: English
Published by Springer, 2020
Series: Book 370 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
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Language: English
Published by Springer, 2019
Series: Book 370 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
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Condition: New. Print on Demand pp. XXIII, 149 67 illus., 59 illus. in color.

Language: English
Published by Springer, 2020
Series: Book 370 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer, 2019
Series: Book 370 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. XXIII, 149 67 illus., 59 illus. in color.